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Models of visual language are strong and flexible. Next, token prediction may be used to create a variety of vision and cross-modality tasks, such as picture…
Part 1 : DeterminismPhoto by ‘HH’ on Pexels.comData science is a very technical, in-the-weeds type of work. We are often laser focused on very specific problems…
The recent development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) models has turned the discussion of Artificial General Intelligence (AGI) into a…
A team of UC Berkeley and Stanford researchers have developed a new parameter-efficient fine-tuning method called Low-Rank Adaptation (LoRA) for deploying LLMs. S-LoRA was designed to…
Hotkeys are keyboard shortcuts typically found in traditional desktop applications. A team of researchers from the University of Cambridge explores what makes for a suitable alternative…
With the advent of affordable virtual reality (VR) technology, there has been significant growth in highly immersive visual media such as realistic VR photography and video.…
The realm of computer vision grapples with a foundational yet arduous task: deciphering dynamic 3D data from visual inputs. This capability is pivotal for a spectrum…
A researcher from Johannes Kepler University has introduced GateLoop, a novel sequence model that leverages the potential of linear recurrence for efficient long-sequence modeling. It generalized…
In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in the environment…
Get started with multimodal conversational models using the open-source LLaVA model.Photo by Izabela Kraus on UnsplashLarge Language Models have proved themselves to be a revolutionary technology.…